TBTC Market Value
| TBTC Crypto | USD 90,361 240.50 0.27% |
| Symbol | TBTC |
TBTC 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to TBTC's crypto coin what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of TBTC.
| 12/15/2025 |
| 01/14/2026 |
If you would invest 0.00 in TBTC on December 15, 2025 and sell it all today you would earn a total of 0.00 from holding tBTC or generate 0.0% return on investment in TBTC over 30 days. TBTC is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. tBTC is peer-to-peer digital currency powered by the Blockchain technology.
TBTC Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure TBTC's crypto coin current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess tBTC upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 12.24 | |||
| Value At Risk | (4.20) | |||
| Potential Upside | 4.12 |
TBTC Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for TBTC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as TBTC's standard deviation. In reality, there are many statistical measures that can use TBTC historical prices to predict the future TBTC's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.32) | |||
| Total Risk Alpha | (0.63) | |||
| Treynor Ratio | (2.13) |
tBTC Backtested Returns
tBTC owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0821, which indicates digital coin had a -0.0821 % return per unit of standard deviation over the last 3 months. tBTC exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate TBTC's Market Risk Adjusted Performance of (2.12), standard deviation of 2.85, and Risk Adjusted Performance of (0.07) to confirm the risk estimate we provide. The entity has a beta of 0.15, which indicates not very significant fluctuations relative to the market. As returns on the market increase, TBTC's returns are expected to increase less than the market. However, during the bear market, the loss of holding TBTC is expected to be smaller as well.
Auto-correlation | 0.03 |
Virtually no predictability
tBTC has virtually no predictability. Overlapping area represents the amount of predictability between TBTC time series from 15th of December 2025 to 30th of December 2025 and 30th of December 2025 to 14th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of tBTC price movement. The serial correlation of 0.03 indicates that only 3.0% of current TBTC price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.03 | |
| Spearman Rank Test | 0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 1.9 M |
tBTC lagged returns against current returns
Autocorrelation, which is TBTC crypto coin's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting TBTC's crypto coin expected returns. We can calculate the autocorrelation of TBTC returns to help us make a trade decision. For example, suppose you find that TBTC has exhibited high autocorrelation historically, and you observe that the crypto coin is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
TBTC regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If TBTC crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if TBTC crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in TBTC crypto coin over time.
Current vs Lagged Prices |
| Timeline |
TBTC Lagged Returns
When evaluating TBTC's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of TBTC crypto coin have on its future price. TBTC autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, TBTC autocorrelation shows the relationship between TBTC crypto coin current value and its past values and can show if there is a momentum factor associated with investing in tBTC.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether tBTC offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of TBTC's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Tbtc Crypto.Check out TBTC Correlation, TBTC Volatility and Investing Opportunities module to complement your research on TBTC. You can also try the AI Portfolio Prophet module to use AI to generate optimal portfolios and find profitable investment opportunities.
TBTC technical crypto coin analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, crypto market cycles, or different charting patterns.